Senior Associate, Quantitative Analyst - Commercial Credit Modeling Team
Capital One
Senior Associate, Quantitative Analyst - Commercial Credit Modeling Team
Job Description
Overview
At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.As a Quantitative Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.Capital One’s Commercial Bank Team has a $100B+ loan portfolio that has grown organically and via acquisitions, covering C&I, CRE, and Structured Products. On this team, you’ll get an opportunity to solve a diverse set of problems with a diverse set of tools. In some settings, you’ll leverage open source programming or cloud computing to predict credit risk loss across multi-million record datasets using statistical techniques. In other settings, you’ll get the opportunity to use completely different skill sets, blending business thinking with simulation and quantitative tools when forecasting rare or unprecedented events. It’s a growing team full of exciting opportunities to solve a range of complex problems.Responsibilities and Skills:Develop credit risk models for various business applications, including internal risk rating, loss forecasting, stress testing, pricing for Commercial Real Estate and Structured Products
Partner with the business analyst team to enhance modeling and analytical frameworks to generate business insights and drive changes
Proactively identify opportunities to apply quantitative methods and automation solutions to improve model performance and process efficiencies
Collaborate with implementation and data infrastructure team to build cloud-based solutions for model deployment, monitoring, and maintenance
Work effectively with challenge functions to ensure prompt and comprehensive support for model governance
Excellent coding skills in Python (must-have) and/or R (good to have) with self-drive to create accurate, efficient, and organized code using industry best practices
Hands-on experience utilizing data analysis and visualization packages to gain insights from large datasets
Deep understanding of quantitative analysis methods with practical considerations under the context of financial institutions and/or commercial bank lending
Demonstrated track-record in applying statistical, machine learning and/or econometric analysis to solve business problems
Drive to develop and maintain high quality and transparent model documentation
Strong communication skills both written and verbal, and storytelling skills for presentations
Experience with simulation-based modeling approach, stochastic processes, etc
Appreciation for processes, controls, and good governance
Currently has, or is in the process of obtaining one of the followingwith an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 3 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 1 year of experience performing data analytics
Master’s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related discipline
At least 2 years of experience with data analysis
At least 1 year of experience with Python, R or other statistical analyst software
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.comCapital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Locations
- McLean, Virginia McLean, VirginiaMcLean
Salary
50,000 - 85,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Rintermediate
- data analysisintermediate
- statistical modelingintermediate
- machine learningintermediate
- credit risk modelingintermediate
- cloud computingintermediate
Required Qualifications
- Bachelor's Degree in a quantitative field plus 3 years of data analytics experience (experience)
- Master’s Degree in a quantitative field or MBA with quantitative concentration plus 1 year of data analytics experience (experience)
- Master’s Degree or PhD in Statistics, Economics, Mathematics, etc. (preferred) (experience)
- At least 2 years of experience with data analysis (preferred) (experience)
- At least 1 year of experience with Python, R or other statistical software (preferred) (experience)
Responsibilities
- Develop credit risk models for various business applications
- Partner with business analyst team to enhance modeling frameworks
- Identify opportunities to apply quantitative methods and automation
- Collaborate with implementation team to build cloud-based solutions
- Work with challenge functions for model governance
Benefits
- general: comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Senior Associate, Quantitative Analyst - Commercial Credit Modeling Team @ Capital One.
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Senior Associate, Quantitative Analyst - Commercial Credit Modeling Team
Capital One
Senior Associate, Quantitative Analyst - Commercial Credit Modeling Team
Job Description
Overview
At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.As a Quantitative Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.Capital One’s Commercial Bank Team has a $100B+ loan portfolio that has grown organically and via acquisitions, covering C&I, CRE, and Structured Products. On this team, you’ll get an opportunity to solve a diverse set of problems with a diverse set of tools. In some settings, you’ll leverage open source programming or cloud computing to predict credit risk loss across multi-million record datasets using statistical techniques. In other settings, you’ll get the opportunity to use completely different skill sets, blending business thinking with simulation and quantitative tools when forecasting rare or unprecedented events. It’s a growing team full of exciting opportunities to solve a range of complex problems.Responsibilities and Skills:Develop credit risk models for various business applications, including internal risk rating, loss forecasting, stress testing, pricing for Commercial Real Estate and Structured Products
Partner with the business analyst team to enhance modeling and analytical frameworks to generate business insights and drive changes
Proactively identify opportunities to apply quantitative methods and automation solutions to improve model performance and process efficiencies
Collaborate with implementation and data infrastructure team to build cloud-based solutions for model deployment, monitoring, and maintenance
Work effectively with challenge functions to ensure prompt and comprehensive support for model governance
Excellent coding skills in Python (must-have) and/or R (good to have) with self-drive to create accurate, efficient, and organized code using industry best practices
Hands-on experience utilizing data analysis and visualization packages to gain insights from large datasets
Deep understanding of quantitative analysis methods with practical considerations under the context of financial institutions and/or commercial bank lending
Demonstrated track-record in applying statistical, machine learning and/or econometric analysis to solve business problems
Drive to develop and maintain high quality and transparent model documentation
Strong communication skills both written and verbal, and storytelling skills for presentations
Experience with simulation-based modeling approach, stochastic processes, etc
Appreciation for processes, controls, and good governance
Currently has, or is in the process of obtaining one of the followingwith an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 3 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 1 year of experience performing data analytics
Master’s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related discipline
At least 2 years of experience with data analysis
At least 1 year of experience with Python, R or other statistical analyst software
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.comCapital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Locations
- McLean, Virginia McLean, VirginiaMcLean
Salary
50,000 - 85,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Rintermediate
- data analysisintermediate
- statistical modelingintermediate
- machine learningintermediate
- credit risk modelingintermediate
- cloud computingintermediate
Required Qualifications
- Bachelor's Degree in a quantitative field plus 3 years of data analytics experience (experience)
- Master’s Degree in a quantitative field or MBA with quantitative concentration plus 1 year of data analytics experience (experience)
- Master’s Degree or PhD in Statistics, Economics, Mathematics, etc. (preferred) (experience)
- At least 2 years of experience with data analysis (preferred) (experience)
- At least 1 year of experience with Python, R or other statistical software (preferred) (experience)
Responsibilities
- Develop credit risk models for various business applications
- Partner with business analyst team to enhance modeling frameworks
- Identify opportunities to apply quantitative methods and automation
- Collaborate with implementation team to build cloud-based solutions
- Work with challenge functions for model governance
Benefits
- general: comprehensive, competitive, and inclusive set of health, financial and other benefits
Answer 10 quick questions to check your fit for Senior Associate, Quantitative Analyst - Commercial Credit Modeling Team @ Capital One.
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